{"id":"https://openalex.org/W3213210481","doi":"https://doi.org/10.1109/iscit52804.2021.9590604","title":"New Method of Detecting Calcification Regions in Dental Panoramic Radiographs Based on U-PraNet","display_name":"New Method of Detecting Calcification Regions in Dental Panoramic Radiographs Based on U-PraNet","publication_year":2021,"publication_date":"2021-10-19","ids":{"openalex":"https://openalex.org/W3213210481","doi":"https://doi.org/10.1109/iscit52804.2021.9590604","mag":"3213210481"},"language":"en","primary_location":{"id":"doi:10.1109/iscit52804.2021.9590604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit52804.2021.9590604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 20th International Symposium on Communications and Information Technologies (ISCIT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010862615","display_name":"Taito Murano","orcid":null},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Taito Murano","raw_affiliation_strings":["Faculty of Engineering Science, Kansai University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering Science, Kansai University, Osaka, Japan","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089184180","display_name":"Mitsuji Muneyasu","orcid":"https://orcid.org/0000-0002-4492-5991"},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mitsuji Muneyasu","raw_affiliation_strings":["Faculty of Engineering Science, Kansai University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering Science, Kansai University, Osaka, Japan","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061967814","display_name":"Soh Yoshida","orcid":"https://orcid.org/0000-0003-0237-7461"},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Soh Yoshida","raw_affiliation_strings":["Faculty of Engineering Science, Kansai University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering Science, Kansai University, Osaka, Japan","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031315778","display_name":"Kosin Chamnongthai","orcid":"https://orcid.org/0000-0003-1509-5754"},"institutions":[{"id":"https://openalex.org/I60837268","display_name":"King Mongkut's University of Technology Thonburi","ror":"https://ror.org/0057ax056","country_code":"TH","type":"education","lineage":["https://openalex.org/I60837268"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kosin Chamnongthai","raw_affiliation_strings":["Faculty of Engineering, King Mongkuts University of Technology Thonburi, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, King Mongkuts University of Technology Thonburi, Bangkok, Thailand","institution_ids":["https://openalex.org/I60837268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101954167","display_name":"Akira Asano","orcid":"https://orcid.org/0000-0001-8542-1899"},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Asano","raw_affiliation_strings":["Faculty of Informatics, Kansai University, Osaka, Janan"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, Kansai University, Osaka, Janan","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100869309","display_name":"Keiichi Uchida","orcid":null},"institutions":[{"id":"https://openalex.org/I90960554","display_name":"Matsumoto Dental University","ror":"https://ror.org/041jyt122","country_code":"JP","type":"education","lineage":["https://openalex.org/I90960554"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiichi Uchida","raw_affiliation_strings":["Division of Comprehensive Oral Treatment, Matsumoto Dental Univiversity Hospital, Nagano, Japan"],"affiliations":[{"raw_affiliation_string":"Division of Comprehensive Oral Treatment, Matsumoto Dental Univiversity Hospital, Nagano, Japan","institution_ids":["https://openalex.org/I90960554"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5010862615"],"corresponding_institution_ids":["https://openalex.org/I56624758"],"apc_list":null,"apc_paid":null,"fwci":0.8255,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72550127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.7880487442016602},{"id":"https://openalex.org/keywords/radiography","display_name":"Radiography","score":0.6947546601295471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6261732578277588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5952954292297363},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5740807056427002},{"id":"https://openalex.org/keywords/calcification","display_name":"Calcification","score":0.5694570541381836},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4822043180465698},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.45285800099372864},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.4355708956718445},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4180243909358978},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34420788288116455}],"concepts":[{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7880487442016602},{"id":"https://openalex.org/C36454342","wikidata":"https://www.wikidata.org/wiki/Q245341","display_name":"Radiography","level":2,"score":0.6947546601295471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6261732578277588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5952954292297363},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5740807056427002},{"id":"https://openalex.org/C2780309369","wikidata":"https://www.wikidata.org/wiki/Q933382","display_name":"Calcification","level":2,"score":0.5694570541381836},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4822043180465698},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.45285800099372864},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4355708956718445},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4180243909358978},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34420788288116455},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscit52804.2021.9590604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit52804.2021.9590604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 20th International Symposium on Communications and Information Technologies (ISCIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7499462967","display_name":null,"funder_award_id":"20K04476","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1974215853","https://openalex.org/W2012288328","https://openalex.org/W2074469229","https://openalex.org/W2078628083","https://openalex.org/W2096237016","https://openalex.org/W2162035589","https://openalex.org/W2344781270","https://openalex.org/W2412782625","https://openalex.org/W2546591523","https://openalex.org/W2621794375","https://openalex.org/W2752782242","https://openalex.org/W2884555738","https://openalex.org/W2888208213","https://openalex.org/W2897795309","https://openalex.org/W2963420686","https://openalex.org/W2964121744","https://openalex.org/W3081752372","https://openalex.org/W3092344722","https://openalex.org/W6631190155","https://openalex.org/W6715287400","https://openalex.org/W6753795919","https://openalex.org/W6778979041"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2971160620","https://openalex.org/W2183246718","https://openalex.org/W2099261052","https://openalex.org/W2131714067","https://openalex.org/W3209204065","https://openalex.org/W2419349733","https://openalex.org/W2393187347","https://openalex.org/W1981293817","https://openalex.org/W2366906938"],"abstract_inverted_index":{"Calcification":[0],"regions":[1,15,32,66,112],"are":[2,16],"sometimes":[3],"observed":[4],"on":[5,72,93,123],"dental":[6,34,114],"panoramic":[7,35,115],"radiographs":[8,36,116],"and":[9,149],"it":[10],"is":[11,99],"known":[12],"that":[13,27,174],"these":[14],"a":[17,45,60,107,118],"sign":[18],"of":[19,30,54,62,85,109,129],"vascular":[20,55],"disease.":[21,56],"It":[22],"has":[23,75,132],"been":[24,76,133],"pointed":[25],"out":[26],"the":[28,51,83,127,145,151,155,164,175,179],"detection":[29,97,165,180],"calcification":[31,65,111,168],"in":[33,113,140],"can":[37,49,162],"encourage":[38],"patients":[39],"to":[40,136],"undergo":[41],"medical":[42,137],"checkups":[43,48],"by":[44],"physician.":[46],"Medical":[47],"prevent":[50],"sudden":[52],"onset":[53],"For":[57],"this":[58,79,103],"purpose,":[59],"method":[61,80,108,161,177],"automatically":[63],"detecting":[64,110],"using":[67,117],"an":[68],"object":[69,120],"detector":[70,121],"based":[71,92,122],"deep":[73,124],"learning":[74],"proposed.":[77],"Although":[78],"significantly":[81],"reduces":[82],"number":[84],"false":[86],"positives":[87],"compared":[88,182],"with":[89,183],"conventional":[90],"methods":[91],"image":[94,138],"features,":[95],"its":[96],"accuracy":[98,153,166],"still":[100],"insufficient.":[101],"In":[102],"paper,":[104],"we":[105,143],"propose":[106],"novel":[119],"learning.":[125],"On":[126],"basis":[128],"PraNet,":[130],"which":[131],"increasingly":[134],"applied":[135],"processing":[139],"recent":[141],"years,":[142],"introduce":[144],"Double":[146],"U-Net":[147],"structure":[148],"enhance":[150],"prediction":[152],"for":[154,167],"initial":[156],"guidance":[157],"region.":[158],"The":[159,170],"proposed":[160,176],"improve":[163],"regions.":[169],"experimental":[171],"results":[172],"show":[173],"improves":[178],"performance":[181],"other":[184],"methods.":[185]},"counts_by_year":[{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}